Trust Assessment
serper received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Unpinned global dependency with '--force' flag.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned global dependency with '--force' flag The skill setup instructions recommend installing a global npm package (`@vinitngr/serper-v`) without specifying a version. This makes the skill vulnerable to supply chain attacks, as a malicious update to the package could be automatically pulled in. Additionally, the use of the `--force` flag can bypass important warnings and potentially lead to an unstable or compromised environment by forcing installations despite conflicts or peer dependency issues. Pin the dependency to a specific, known-good version (e.g., `npm install -g @vinitngr/serper-v@1.2.3`) to ensure consistent and secure installations. Remove the `--force` flag unless its implications are fully understood and accepted for a specific, justified reason. | LLM | SKILL.md:21 |
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